Overview

Brought to you by YData

Dataset statistics

Number of variables	29
Number of observations	2139048
Missing cells	18314504
Missing cells (%)	29.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	473.3 MiB
Average record size in memory	232.0 B

Variable types

DateTime	2
Categorical	6
Unsupported	1
Numeric	8
Text	12

Alerts

`CONTRIBUTING FACTOR VEHICLE 4` is highly overall correlated with `CONTRIBUTING FACTOR VEHICLE 5`	High correlation
`CONTRIBUTING FACTOR VEHICLE 5` is highly overall correlated with `CONTRIBUTING FACTOR VEHICLE 4`	High correlation
`NUMBER OF CYCLIST KILLED` is highly overall correlated with `NUMBER OF PEDESTRIANS KILLED` and 1 other fields	High correlation
`NUMBER OF MOTORIST INJURED` is highly overall correlated with `NUMBER OF PERSONS INJURED`	High correlation
`NUMBER OF MOTORIST KILLED` is highly overall correlated with `NUMBER OF PERSONS KILLED`	High correlation
`NUMBER OF PEDESTRIANS KILLED` is highly overall correlated with `NUMBER OF CYCLIST KILLED` and 1 other fields	High correlation
`NUMBER OF PERSONS INJURED` is highly overall correlated with `NUMBER OF MOTORIST INJURED`	High correlation
`NUMBER OF PERSONS KILLED` is highly overall correlated with `NUMBER OF CYCLIST KILLED` and 2 other fields	High correlation
`NUMBER OF PEDESTRIANS KILLED` is highly imbalanced (99.6%)	Imbalance
`NUMBER OF CYCLIST INJURED` is highly imbalanced (92.0%)	Imbalance
`NUMBER OF CYCLIST KILLED` is highly imbalanced (99.9%)	Imbalance
`CONTRIBUTING FACTOR VEHICLE 4` is highly imbalanced (90.9%)	Imbalance
`CONTRIBUTING FACTOR VEHICLE 5` is highly imbalanced (90.1%)	Imbalance
`BOROUGH` has 664048 (31.0%) missing values	Missing
`ZIP CODE` has 664310 (31.1%) missing values	Missing
`LATITUDE` has 239440 (11.2%) missing values	Missing
`LONGITUDE` has 239440 (11.2%) missing values	Missing
`LOCATION` has 239440 (11.2%) missing values	Missing
`ON STREET NAME` has 458746 (21.4%) missing values	Missing
`CROSS STREET NAME` has 815476 (38.1%) missing values	Missing
`OFF STREET NAME` has 1772675 (82.9%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 2` has 336447 (15.7%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 3` has 1985155 (92.8%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 4` has 2104055 (98.4%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 5` has 2129500 (99.6%) missing values	Missing
`VEHICLE TYPE CODE 2` has 417714 (19.5%) missing values	Missing
`VEHICLE TYPE CODE 3` has 1990930 (93.1%) missing values	Missing
`VEHICLE TYPE CODE 4` has 2105307 (98.4%) missing values	Missing
`VEHICLE TYPE CODE 5` has 2129794 (99.6%) missing values	Missing
`LATITUDE` is highly skewed (γ1 = -20.03202737)	Skewed
`NUMBER OF PERSONS KILLED` is highly skewed (γ1 = 33.18090186)	Skewed
`NUMBER OF MOTORIST KILLED` is highly skewed (γ1 = 53.52641947)	Skewed
`COLLISION_ID` has unique values	Unique
`ZIP CODE` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`NUMBER OF PERSONS INJURED` has 1636505 (76.5%) zeros	Zeros
`NUMBER OF PERSONS KILLED` has 2135856 (99.9%) zeros	Zeros
`NUMBER OF PEDESTRIANS INJURED` has 2020475 (94.5%) zeros	Zeros
`NUMBER OF MOTORIST INJURED` has 1819309 (85.1%) zeros	Zeros
`NUMBER OF MOTORIST KILLED` has 2137793 (99.9%) zeros	Zeros

Reproduction

Analysis started	2024-12-04 17:58:22.154853
Analysis finished	2024-12-04 18:00:52.508173
Duration	2 minutes and 30.35 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

CRASH DATE
Date

Distinct	4536
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	16.3 MiB

Minimum	2012-07-01 00:00:00
Maximum	2024-11-30 00:00:00

Histogram with fixed size bins (bins=50)

CRASH TIME
Date

Distinct	1440
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.3 MiB

Minimum	2024-12-04 00:00:00
Maximum	2024-12-04 23:59:00

Histogram with fixed size bins (bins=50)

BOROUGH
Categorical

Missing

Distinct	5
Distinct (%)	< 0.1%
Missing	664048
Missing (%)	31.0%
Memory size	16.3 MiB

BROOKLYN	470551
QUEENS	395650
MANHATTAN	328674
BRONX	218295
STATEN ISLAND	61830

Length

Max length	13
Median length	9
Mean length	7.4519586
Min length	5

Characters and Unicode

Total characters	10991639
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BROOKLYN
2nd row	BROOKLYN
3rd row	BRONX
4th row	BROOKLYN
5th row	MANHATTAN

Common Values

Value	Count	Frequency (%)
BROOKLYN	470551	22.0%
QUEENS	395650	18.5%
MANHATTAN	328674	15.4%
BRONX	218295	10.2%
STATEN ISLAND	61830	2.9%
(Missing)	664048	31.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
brooklyn	470551	30.6%
queens	395650	25.7%
manhattan	328674	21.4%
bronx	218295	14.2%
staten	61830	4.0%
island	61830	4.0%

Most occurring characters

Value	Count	Frequency (%)
N	1865504	17.0%
O	1159397	10.5%
A	1109682	10.1%
E	853130	7.8%
T	781008	7.1%
R	688846	6.3%
B	688846	6.3%
L	532381	4.8%
S	519310	4.7%
Y	470551	4.3%
Other values (9)	2322984	21.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10991639	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	1865504	17.0%
O	1159397	10.5%
A	1109682	10.1%
E	853130	7.8%
T	781008	7.1%
R	688846	6.3%
B	688846	6.3%
L	532381	4.8%
S	519310	4.7%
Y	470551	4.3%
Other values (9)	2322984	21.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10991639	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	1865504	17.0%
O	1159397	10.5%
A	1109682	10.1%
E	853130	7.8%
T	781008	7.1%
R	688846	6.3%
B	688846	6.3%
L	532381	4.8%
S	519310	4.7%
Y	470551	4.3%
Other values (9)	2322984	21.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10991639	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	1865504	17.0%
O	1159397	10.5%
A	1109682	10.1%
E	853130	7.8%
T	781008	7.1%
R	688846	6.3%
B	688846	6.3%
L	532381	4.8%
S	519310	4.7%
Y	470551	4.3%
Other values (9)	2322984	21.1%

ZIP CODE
Unsupported

Missing Rejected Unsupported

Missing	664310
Missing (%)	31.1%
Memory size	16.3 MiB

LATITUDE
Real number (ℝ)

Missing Skewed

Distinct	127648
Distinct (%)	6.7%
Missing	239440
Missing (%)	11.2%
Infinite	0
Infinite (%)	0.0%
Mean	40.623741

Minimum	0
Maximum	43.344444
Zeros	4677
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	16.3 MiB

Quantile statistics

Minimum	0
5-th percentile	40.596511
Q1	40.66758
median	40.720567
Q3	40.769623
95-th percentile	40.86194
Maximum	43.344444
Range	43.344444
Interquartile range (IQR)	0.102043

Descriptive statistics

Standard deviation	2.0197808
Coefficient of variation (CV)	0.049719222
Kurtosis	399.91004
Mean	40.623741
Median Absolute Deviation (MAD)	0.0513168
Skewness	-20.032027
Sum	77169184
Variance	4.0795145
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4677	0.2%
40.861862	918	< 0.1%
40.696033	793	< 0.1%
40.8047	693	< 0.1%
40.608757	681	< 0.1%
40.798256	635	< 0.1%
40.759308	633	< 0.1%
40.6960346	587	< 0.1%
40.675735	585	< 0.1%
40.658577	544	< 0.1%
Other values (127638)	1888862	88.3%
(Missing)	239440	11.2%

Value	Count	Frequency (%)
0	4677	0.2%
30.78418	1	< 0.1%
34.783634	1	< 0.1%
40.498947	1	< 0.1%
40.4989488	2	< 0.1%
40.4991346	1	< 0.1%
40.49931	1	< 0.1%
40.4994787	1	< 0.1%
40.499659	1	< 0.1%
40.499672	1	< 0.1%

Value	Count	Frequency (%)
43.344444	1	< 0.1%
42.64154	1	< 0.1%
42.318317	1	< 0.1%
42.107204	1	< 0.1%
41.91661	1	< 0.1%
41.34796	1	< 0.1%
41.258785	1	< 0.1%
41.12615	5	< 0.1%
41.12421	1	< 0.1%
41.061634	2	< 0.1%

LONGITUDE
Real number (ℝ)

Missing

Distinct	99084
Distinct (%)	5.2%
Missing	239440
Missing (%)	11.2%
Infinite	0
Infinite (%)	0.0%
Mean	-73.7449

Minimum	-201.35999
Maximum	0
Zeros	4677
Zeros (%)	0.2%
Negative	1894931
Negative (%)	88.6%
Memory size	16.3 MiB

Quantile statistics

Minimum	-201.35999
5-th percentile	-74.037093
Q1	-73.9747
median	-73.92709
Q3	-73.866761
95-th percentile	-73.76318
Maximum	0
Range	201.35999
Interquartile range (IQR)	0.1079388

Descriptive statistics

Standard deviation	3.7881604
Coefficient of variation (CV)	-0.051368439
Kurtosis	422.31976
Mean	-73.7449
Median Absolute Deviation (MAD)	0.0525804
Skewness	16.047859
Sum	-1.400864 × 10⁸
Variance	14.350159
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4677	0.2%
-73.89063	790	< 0.1%
-73.91282	719	< 0.1%
-73.98453	708	< 0.1%
-73.89686	684	< 0.1%
-74.038086	682	< 0.1%
-73.91243	656	< 0.1%
-73.94476	618	< 0.1%
-73.9112	592	< 0.1%
-73.9845292	587	< 0.1%
Other values (99074)	1888895	88.3%
(Missing)	239440	11.2%

Value	Count	Frequency (%)
-201.35999	1	< 0.1%
-201.23706	105	< 0.1%
-89.13527	1	< 0.1%
-86.76847	1	< 0.1%
-79.61955	1	< 0.1%
-79.00183	1	< 0.1%
-76.2634	1	< 0.1%
-76.02163	1	< 0.1%
-74.742	7	< 0.1%
-74.25496	1	< 0.1%

Value	Count	Frequency (%)
0	4677	0.2%
-32.768513	16	< 0.1%
-47.209625	3	< 0.1%
-73.66301	1	< 0.1%
-73.70055	2	< 0.1%
-73.700584	11	< 0.1%
-73.7005968	10	< 0.1%
-73.70061	5	< 0.1%
-73.70071	4	< 0.1%
-73.70073	1	< 0.1%

LOCATION
Text

Missing

Distinct	297878
Distinct (%)	15.7%
Missing	239440
Missing (%)	11.2%
Memory size	16.3 MiB

Length

Max length	25
Median length	24
Mean length	22.746237
Min length	10

Characters and Unicode

Total characters	43208933
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	166390 ?
Unique (%)	8.8%

Sample

1st row	(40.667202, -73.8665)
2nd row	(40.683304, -73.917274)
3rd row	(40.709183, -73.956825)
4th row	(40.86816, -73.83148)
5th row	(40.67172, -73.8971)

Value	Count	Frequency (%)
0.0	9354	0.2%
40.861862	918	< 0.1%
40.696033	793	< 0.1%
73.89063	790	< 0.1%
73.91282	719	< 0.1%
73.98453	708	< 0.1%
40.8047	693	< 0.1%
73.89686	684	< 0.1%
74.038086	682	< 0.1%
40.608757	681	< 0.1%
Other values (226721)	3783194	99.6%

Most occurring characters

Value	Count	Frequency (%)
7	4730794	10.9%
4	4101049	9.5%
.	3799216	8.8%
3	3601441	8.3%
0	3502505	8.1%
9	2775395	6.4%
8	2725726	6.3%
6	2694721	6.2%
5	2156181	5.0%
)	1899608	4.4%
Other values (6)	11222297	26.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	43208933	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
7	4730794	10.9%
4	4101049	9.5%
.	3799216	8.8%
3	3601441	8.3%
0	3502505	8.1%
9	2775395	6.4%
8	2725726	6.3%
6	2694721	6.2%
5	2156181	5.0%
)	1899608	4.4%
Other values (6)	11222297	26.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	43208933	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
7	4730794	10.9%
4	4101049	9.5%
.	3799216	8.8%
3	3601441	8.3%
0	3502505	8.1%
9	2775395	6.4%
8	2725726	6.3%
6	2694721	6.2%
5	2156181	5.0%
)	1899608	4.4%
Other values (6)	11222297	26.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	43208933	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
7	4730794	10.9%
4	4101049	9.5%
.	3799216	8.8%
3	3601441	8.3%
0	3502505	8.1%
9	2775395	6.4%
8	2725726	6.3%
6	2694721	6.2%
5	2156181	5.0%
)	1899608	4.4%
Other values (6)	11222297	26.0%

ON STREET NAME
Text

Missing

Distinct	20297
Distinct (%)	1.2%
Missing	458746
Missing (%)	21.4%
Memory size	16.3 MiB

Length

Max length	32
Median length	32
Mean length	29.208227
Min length	2

Characters and Unicode

Total characters	49078643
Distinct characters	75
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7380 ?
Unique (%)	0.4%

Sample

1st row	WHITESTONE EXPRESSWAY
2nd row	QUEENSBORO BRIDGE UPPER
3rd row	THROGS NECK BRIDGE
4th row	SARATOGA AVENUE
5th row	MAJOR DEEGAN EXPRESSWAY RAMP

Value	Count	Frequency (%)
avenue	622140	16.0%
street	532426	13.7%
east	156743	4.0%
boulevard	129739	3.3%
west	117202	3.0%
parkway	77408	2.0%
road	69620	1.8%
expressway	66041	1.7%
island	31656	0.8%
queens	28007	0.7%
Other values (5424)	2046868	52.8%

Most occurring characters

Value	Count	Frequency (%)
	27622941	56.3%
E	3767585	7.7%
A	2005980	4.1%
T	1877599	3.8%
R	1716542	3.5%
N	1466857	3.0%
S	1447403	2.9%
U	1001507	2.0%
O	893179	1.8%
V	875073	1.8%
Other values (65)	6403977	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49078643	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	27622941	56.3%
E	3767585	7.7%
A	2005980	4.1%
T	1877599	3.8%
R	1716542	3.5%
N	1466857	3.0%
S	1447403	2.9%
U	1001507	2.0%
O	893179	1.8%
V	875073	1.8%
Other values (65)	6403977	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49078643	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	27622941	56.3%
E	3767585	7.7%
A	2005980	4.1%
T	1877599	3.8%
R	1716542	3.5%
N	1466857	3.0%
S	1447403	2.9%
U	1001507	2.0%
O	893179	1.8%
V	875073	1.8%
Other values (65)	6403977	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49078643	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	27622941	56.3%
E	3767585	7.7%
A	2005980	4.1%
T	1877599	3.8%
R	1716542	3.5%
N	1466857	3.0%
S	1447403	2.9%
U	1001507	2.0%
O	893179	1.8%
V	875073	1.8%
Other values (65)	6403977	13.0%

CROSS STREET NAME
Text

Missing

Distinct	22031
Distinct (%)	1.7%
Missing	815476
Missing (%)	38.1%
Memory size	16.3 MiB

Length

Max length	32
Median length	31
Mean length	22.458799
Min length	1

Characters and Unicode

Total characters	29725837
Distinct characters	76
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7001 ?
Unique (%)	0.5%

Sample

1st row	20 AVENUE
2nd row	DECATUR STREET
3rd row	EAST 43 STREET
4th row	EAST GATE PLAZA
5th row	west 80 street -west 81 street

Value	Count	Frequency (%)
avenue	577527	19.7%
street	468587	16.0%
east	114391	3.9%
west	72235	2.5%
boulevard	70367	2.4%
road	56758	1.9%
place	34621	1.2%
parkway	27321	0.9%
3	19241	0.7%
park	17806	0.6%
Other values (5526)	1468653	50.2%

Most occurring characters

Value	Count	Frequency (%)
	14155131	47.6%
E	3004574	10.1%
T	1486246	5.0%
A	1455639	4.9%
R	1174676	4.0%
N	1101186	3.7%
S	1012508	3.4%
U	795008	2.7%
V	727329	2.4%
O	593812	2.0%
Other values (66)	4219728	14.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29725837	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	14155131	47.6%
E	3004574	10.1%
T	1486246	5.0%
A	1455639	4.9%
R	1174676	4.0%
N	1101186	3.7%
S	1012508	3.4%
U	795008	2.7%
V	727329	2.4%
O	593812	2.0%
Other values (66)	4219728	14.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29725837	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	14155131	47.6%
E	3004574	10.1%
T	1486246	5.0%
A	1455639	4.9%
R	1174676	4.0%
N	1101186	3.7%
S	1012508	3.4%
U	795008	2.7%
V	727329	2.4%
O	593812	2.0%
Other values (66)	4219728	14.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29725837	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	14155131	47.6%
E	3004574	10.1%
T	1486246	5.0%
A	1455639	4.9%
R	1174676	4.0%
N	1101186	3.7%
S	1012508	3.4%
U	795008	2.7%
V	727329	2.4%
O	593812	2.0%
Other values (66)	4219728	14.2%

OFF STREET NAME
Text

Missing

Distinct	238084
Distinct (%)	65.0%
Missing	1772675
Missing (%)	82.9%
Memory size	16.3 MiB

Length

Max length	40
Median length	40
Mean length	35.365745
Min length	8

Characters and Unicode

Total characters	12957054
Distinct characters	84
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	185679 ?
Unique (%)	50.7%

Sample

1st row	1211 LORING AVENUE
2nd row	344 BAYCHESTER AVENUE
3rd row	2047 PITKIN AVENUE
4th row	480 DEAN STREET
5th row	878 FLATBUSH AVENUE

Value	Count	Frequency (%)
avenue	144341	11.9%
street	132139	10.9%
east	34831	2.9%
west	25197	2.1%
boulevard	22997	1.9%
road	17136	1.4%
lot	7881	0.6%
parking	7267	0.6%
parkway	7265	0.6%
place	7123	0.6%
Other values (27876)	811117	66.6%

Most occurring characters

Value	Count	Frequency (%)
	7002858	54.0%
E	836211	6.5%
T	458410	3.5%
A	428269	3.3%
R	355701	2.7%
N	312373	2.4%
S	300946	2.3%
1	291801	2.3%
U	212281	1.6%
V	198958	1.5%
Other values (74)	2559246	19.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12957054	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	7002858	54.0%
E	836211	6.5%
T	458410	3.5%
A	428269	3.3%
R	355701	2.7%
N	312373	2.4%
S	300946	2.3%
1	291801	2.3%
U	212281	1.6%
V	198958	1.5%
Other values (74)	2559246	19.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12957054	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	7002858	54.0%
E	836211	6.5%
T	458410	3.5%
A	428269	3.3%
R	355701	2.7%
N	312373	2.4%
S	300946	2.3%
1	291801	2.3%
U	212281	1.6%
V	198958	1.5%
Other values (74)	2559246	19.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12957054	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	7002858	54.0%
E	836211	6.5%
T	458410	3.5%
A	428269	3.3%
R	355701	2.7%
N	312373	2.4%
S	300946	2.3%
1	291801	2.3%
U	212281	1.6%
V	198958	1.5%
Other values (74)	2559246	19.8%

NUMBER OF PERSONS INJURED
Real number (ℝ)

High correlation Zeros

Distinct	32
Distinct (%)	< 0.1%
Missing	18
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.31853971

Minimum	0
Maximum	43
Zeros	1636505
Zeros (%)	76.5%
Negative	0
Negative (%)	0.0%
Memory size	16.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	43
Range	43
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.70733463
Coefficient of variation (CV)	2.220554
Kurtosis	48.770161
Mean	0.31853971
Median Absolute Deviation (MAD)	0
Skewness	4.1681048
Sum	681366
Variance	0.50032228
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0	1636505	76.5%
1	389983	18.2%
2	73462	3.4%
3	24056	1.1%
4	8913	0.4%
5	3413	0.2%
6	1430	0.1%
7	599	< 0.1%
8	267	< 0.1%
9	135	< 0.1%
Other values (22)	267	< 0.1%

Value	Count	Frequency (%)
0	1636505	76.5%
1	389983	18.2%
2	73462	3.4%
3	24056	1.1%
4	8913	0.4%
5	3413	0.2%
6	1430	0.1%
7	599	< 0.1%
8	267	< 0.1%
9	135	< 0.1%

Value	Count	Frequency (%)
43	1	< 0.1%
40	1	< 0.1%
34	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
27	1	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
23	1	< 0.1%
22	3	< 0.1%

NUMBER OF PERSONS KILLED
Real number (ℝ)

High correlation Skewed Zeros

Distinct	7
Distinct (%)	< 0.1%
Missing	31
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.0015404272

Minimum	0
Maximum	8
Zeros	2135856
Zeros (%)	99.9%
Negative	0
Negative (%)	0.0%
Memory size	16.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	8
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.041432376
Coefficient of variation (CV)	26.896679
Kurtosis	1852.8104
Mean	0.0015404272
Median Absolute Deviation (MAD)	0
Skewness	33.180902
Sum	3295
Variance	0.0017166418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	2135856	99.9%
1	3059	0.1%
2	83	< 0.1%
3	12	< 0.1%
4	4	< 0.1%
5	2	< 0.1%
8	1	< 0.1%
(Missing)	31	< 0.1%

Value	Count	Frequency (%)
0	2135856	99.9%
1	3059	0.1%
2	83	< 0.1%
3	12	< 0.1%
4	4	< 0.1%
5	2	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
5	2	< 0.1%
4	4	< 0.1%
3	12	< 0.1%
2	83	< 0.1%
1	3059	0.1%
0	2135856	99.9%

NUMBER OF PEDESTRIANS INJURED
Real number (ℝ)

Zeros

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.057821517

Minimum	0
Maximum	27
Zeros	2020475
Zeros (%)	94.5%
Negative	0
Negative (%)	0.0%
Memory size	16.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	27
Range	27
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2465722
Coefficient of variation (CV)	4.2643676
Kurtosis	121.50453
Mean	0.057821517
Median Absolute Deviation (MAD)	0
Skewness	5.5674996
Sum	123683
Variance	0.060797851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	2020475	94.5%
1	114212	5.3%
2	3865	0.2%
3	383	< 0.1%
4	62	< 0.1%
5	27	< 0.1%
6	11	< 0.1%
7	5	< 0.1%
9	2	< 0.1%
8	2	< 0.1%
Other values (4)	4	< 0.1%

Value	Count	Frequency (%)
0	2020475	94.5%
1	114212	5.3%
2	3865	0.2%
3	383	< 0.1%
4	62	< 0.1%
5	27	< 0.1%
6	11	< 0.1%
7	5	< 0.1%
8	2	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
27	1	< 0.1%
19	1	< 0.1%
15	1	< 0.1%
13	1	< 0.1%
9	2	< 0.1%
8	2	< 0.1%
7	5	< 0.1%
6	11	< 0.1%
5	27	< 0.1%
4	62	< 0.1%

NUMBER OF PEDESTRIANS KILLED
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.3 MiB

0	2137443
1	1590
2	13
6	1
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2139048
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2137443	99.9%
1	1590	0.1%
2	13	< 0.1%
6	1	< 0.1%
4	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2137443	99.9%
1	1590	0.1%
2	13	< 0.1%
6	1	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2137443	99.9%
1	1590	0.1%
2	13	< 0.1%
6	1	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2137443	99.9%
1	1590	0.1%
2	13	< 0.1%
6	1	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2137443	99.9%
1	1590	0.1%
2	13	< 0.1%
6	1	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2137443	99.9%
1	1590	0.1%
2	13	< 0.1%
6	1	< 0.1%
4	1	< 0.1%

NUMBER OF CYCLIST INJURED
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.3 MiB

0	2080100
1	58250
2	673
3	24
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2139048
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2080100	97.2%
1	58250	2.7%
2	673	< 0.1%
3	24	< 0.1%
4	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2080100	97.2%
1	58250	2.7%
2	673	< 0.1%
3	24	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2080100	97.2%
1	58250	2.7%
2	673	< 0.1%
3	24	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2080100	97.2%
1	58250	2.7%
2	673	< 0.1%
3	24	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2080100	97.2%
1	58250	2.7%
2	673	< 0.1%
3	24	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2080100	97.2%
1	58250	2.7%
2	673	< 0.1%
3	24	< 0.1%
4	1	< 0.1%

NUMBER OF CYCLIST KILLED
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.3 MiB

0	2138791
1	256
2	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2139048
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2138791	> 99.9%
1	256	< 0.1%
2	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2138791	> 99.9%
1	256	< 0.1%
2	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2138791	> 99.9%
1	256	< 0.1%
2	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2138791	> 99.9%
1	256	< 0.1%
2	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2138791	> 99.9%
1	256	< 0.1%
2	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2139048	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2138791	> 99.9%
1	256	< 0.1%
2	1	< 0.1%

NUMBER OF MOTORIST INJURED
Real number (ℝ)

High correlation Zeros

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.22864143

Minimum	0
Maximum	43
Zeros	1819309
Zeros (%)	85.1%
Negative	0
Negative (%)	0.0%
Memory size	16.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	43
Range	43
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.66852401
Coefficient of variation (CV)	2.923897
Kurtosis	60.610294
Mean	0.22864143
Median Absolute Deviation (MAD)	0
Skewness	5.0249595
Sum	489075
Variance	0.44692435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	1819309	85.1%
1	214875	10.0%
2	66859	3.1%
3	23319	1.1%
4	8727	0.4%
5	3360	0.2%
6	1382	0.1%
7	573	< 0.1%
8	258	< 0.1%
9	130	< 0.1%
Other values (21)	256	< 0.1%

Value	Count	Frequency (%)
0	1819309	85.1%
1	214875	10.0%
2	66859	3.1%
3	23319	1.1%
4	8727	0.4%
5	3360	0.2%
6	1382	0.1%
7	573	< 0.1%
8	258	< 0.1%
9	130	< 0.1%

Value	Count	Frequency (%)
43	1	< 0.1%
40	1	< 0.1%
34	1	< 0.1%
31	1	< 0.1%
30	1	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
23	1	< 0.1%
22	2	< 0.1%
21	1	< 0.1%

NUMBER OF MOTORIST KILLED
Real number (ℝ)

High correlation Skewed Zeros

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.00063532936

Minimum	0
Maximum	5
Zeros	2137793
Zeros (%)	99.9%
Negative	0
Negative (%)	0.0%
Memory size	16.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.027572005
Coefficient of variation (CV)	43.397971
Kurtosis	4006.7511
Mean	0.00063532936
Median Absolute Deviation (MAD)	0
Skewness	53.526419
Sum	1359
Variance	0.00076021545
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	2137793	99.9%
1	1173	0.1%
2	66	< 0.1%
3	12	< 0.1%
4	2	< 0.1%
5	2	< 0.1%

Value	Count	Frequency (%)
0	2137793	99.9%
1	1173	0.1%
2	66	< 0.1%
3	12	< 0.1%
4	2	< 0.1%
5	2	< 0.1%

Value	Count	Frequency (%)
5	2	< 0.1%
4	2	< 0.1%
3	12	< 0.1%
2	66	< 0.1%
1	1173	0.1%
0	2137793	99.9%

CONTRIBUTING FACTOR VEHICLE 1
Text

Distinct	61
Distinct (%)	< 0.1%
Missing	7247
Missing (%)	0.3%
Memory size	16.3 MiB

Length

Max length	53
Median length	43
Mean length	19.558659
Min length	1

Characters and Unicode

Total characters	41695169
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aggressive Driving/Road Rage
2nd row	Pavement Slippery
3rd row	Following Too Closely
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
unspecified	722522	17.0%
driver	464742	10.9%
inattention/distraction	430808	10.1%
closely	168527	4.0%
too	168527	4.0%
to	153071	3.6%
failure	133931	3.1%
yield	127534	3.0%
right-of-way	127534	3.0%
following	114773	2.7%
Other values (96)	1648193	38.7%

Most occurring characters

Value	Count	Frequency (%)
i	4683319	11.2%
e	4243184	10.2%
n	3625879	8.7%
t	2898877	7.0%
o	2465185	5.9%
r	2457408	5.9%
s	2162592	5.2%
	2128361	5.1%
a	2061170	4.9%
c	1600117	3.8%
Other values (45)	13369077	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41695169	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	4683319	11.2%
e	4243184	10.2%
n	3625879	8.7%
t	2898877	7.0%
o	2465185	5.9%
r	2457408	5.9%
s	2162592	5.2%
	2128361	5.1%
a	2061170	4.9%
c	1600117	3.8%
Other values (45)	13369077	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41695169	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	4683319	11.2%
e	4243184	10.2%
n	3625879	8.7%
t	2898877	7.0%
o	2465185	5.9%
r	2457408	5.9%
s	2162592	5.2%
	2128361	5.1%
a	2061170	4.9%
c	1600117	3.8%
Other values (45)	13369077	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41695169	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	4683319	11.2%
e	4243184	10.2%
n	3625879	8.7%
t	2898877	7.0%
o	2465185	5.9%
r	2457408	5.9%
s	2162592	5.2%
	2128361	5.1%
a	2061170	4.9%
c	1600117	3.8%
Other values (45)	13369077	32.1%

CONTRIBUTING FACTOR VEHICLE 2
Text

Missing

Distinct	61
Distinct (%)	< 0.1%
Missing	336447
Missing (%)	15.7%
Memory size	16.3 MiB

Length

Max length	53
Median length	11
Mean length	13.05409
Min length	1

Characters and Unicode

Total characters	23531315
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
unspecified	1517571	68.6%
driver	103988	4.7%
inattention/distraction	97069	4.4%
other	33942	1.5%
vehicular	32876	1.5%
too	28805	1.3%
closely	28805	1.3%
passing	22300	1.0%
to	22054	1.0%
lane	20754	0.9%
Other values (96)	304097	13.7%

Most occurring characters

Value	Count	Frequency (%)
i	3708448	15.8%
e	3610400	15.3%
n	2109289	9.0%
s	1807319	7.7%
c	1712694	7.3%
d	1593491	6.8%
p	1589343	6.8%
f	1575663	6.7%
U	1555327	6.6%
t	637147	2.7%
Other values (45)	3632194	15.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	23531315	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	3708448	15.8%
e	3610400	15.3%
n	2109289	9.0%
s	1807319	7.7%
c	1712694	7.3%
d	1593491	6.8%
p	1589343	6.8%
f	1575663	6.7%
U	1555327	6.6%
t	637147	2.7%
Other values (45)	3632194	15.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	23531315	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	3708448	15.8%
e	3610400	15.3%
n	2109289	9.0%
s	1807319	7.7%
c	1712694	7.3%
d	1593491	6.8%
p	1589343	6.8%
f	1575663	6.7%
U	1555327	6.6%
t	637147	2.7%
Other values (45)	3632194	15.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	23531315	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	3708448	15.8%
e	3610400	15.3%
n	2109289	9.0%
s	1807319	7.7%
c	1712694	7.3%
d	1593491	6.8%
p	1589343	6.8%
f	1575663	6.7%
U	1555327	6.6%
t	637147	2.7%
Other values (45)	3632194	15.4%

CONTRIBUTING FACTOR VEHICLE 3
Text

Missing

Distinct	52
Distinct (%)	< 0.1%
Missing	1985155
Missing (%)	92.8%
Memory size	16.3 MiB

Length

Max length	53
Median length	11
Mean length	11.658977
Min length	1

Characters and Unicode

Total characters	1794235
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
unspecified	143435	85.8%
other	2964	1.8%
vehicular	2924	1.7%
driver	2229	1.3%
closely	2093	1.3%
too	2093	1.3%
inattention/distraction	2040	1.2%
following	2036	1.2%
fatigued/drowsy	853	0.5%
pavement	418	0.2%
Other values (80)	6145	3.7%

Most occurring characters

Value	Count	Frequency (%)
e	306610	17.1%
i	305180	17.0%
n	157369	8.8%
s	150660	8.4%
c	150109	8.4%
d	145596	8.1%
p	145157	8.1%
f	144378	8.0%
U	144141	8.0%
o	17939	1.0%
Other values (45)	127096	7.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1794235	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	306610	17.1%
i	305180	17.0%
n	157369	8.8%
s	150660	8.4%
c	150109	8.4%
d	145596	8.1%
p	145157	8.1%
f	144378	8.0%
U	144141	8.0%
o	17939	1.0%
Other values (45)	127096	7.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1794235	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	306610	17.1%
i	305180	17.0%
n	157369	8.8%
s	150660	8.4%
c	150109	8.4%
d	145596	8.1%
p	145157	8.1%
f	144378	8.0%
U	144141	8.0%
o	17939	1.0%
Other values (45)	127096	7.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1794235	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	306610	17.1%
i	305180	17.0%
n	157369	8.8%
s	150660	8.4%
c	150109	8.4%
d	145596	8.1%
p	145157	8.1%
f	144378	8.0%
U	144141	8.0%
o	17939	1.0%
Other values (45)	127096	7.1%

CONTRIBUTING FACTOR VEHICLE 4
Categorical

High correlation Imbalance Missing

Distinct	42
Distinct (%)	0.1%
Missing	2104055
Missing (%)	98.4%
Memory size	16.3 MiB

Unspecified	33009
Other Vehicular	654
Following Too Closely	403
Driver Inattention/Distraction	289
Fatigued/Drowsy	170
Other values (37)	468

Length

Max length	43
Median length	11
Mean length	11.489927
Min length	5

Characters and Unicode

Total characters	402067
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Common Values

Value	Count	Frequency (%)
Unspecified	33009	1.5%
Other Vehicular	654	< 0.1%
Following Too Closely	403	< 0.1%
Driver Inattention/Distraction	289	< 0.1%
Fatigued/Drowsy	170	< 0.1%
Pavement Slippery	120	< 0.1%
Reaction to Uninvolved Vehicle	43	< 0.1%
Unsafe Speed	34	< 0.1%
Outside Car Distraction	31	< 0.1%
Driver Inexperience	30	< 0.1%
Other values (32)	210	< 0.1%
(Missing)	2104055	98.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	33009	88.1%
other	663	1.8%
vehicular	654	1.7%
too	408	1.1%
closely	408	1.1%
following	403	1.1%
driver	319	0.9%
inattention/distraction	289	0.8%
fatigued/drowsy	170	0.5%
pavement	123	0.3%
Other values (65)	1009	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	69768	17.4%
i	69115	17.2%
n	35182	8.8%
c	34238	8.5%
s	34200	8.5%
p	33386	8.3%
d	33372	8.3%
f	33139	8.2%
U	33121	8.2%
o	3186	0.8%
Other values (41)	23360	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	402067	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	69768	17.4%
i	69115	17.2%
n	35182	8.8%
c	34238	8.5%
s	34200	8.5%
p	33386	8.3%
d	33372	8.3%
f	33139	8.2%
U	33121	8.2%
o	3186	0.8%
Other values (41)	23360	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	402067	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	69768	17.4%
i	69115	17.2%
n	35182	8.8%
c	34238	8.5%
s	34200	8.5%
p	33386	8.3%
d	33372	8.3%
f	33139	8.2%
U	33121	8.2%
o	3186	0.8%
Other values (41)	23360	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	402067	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	69768	17.4%
i	69115	17.2%
n	35182	8.8%
c	34238	8.5%
s	34200	8.5%
p	33386	8.3%
d	33372	8.3%
f	33139	8.2%
U	33121	8.2%
o	3186	0.8%
Other values (41)	23360	5.8%

CONTRIBUTING FACTOR VEHICLE 5
Categorical

High correlation Imbalance Missing

Distinct	31
Distinct (%)	0.3%
Missing	2129500
Missing (%)	99.6%
Memory size	16.3 MiB

Unspecified	9001
Other Vehicular	193
Following Too Closely	104
Driver Inattention/Distraction	67
Pavement Slippery	50
Other values (26)	133

Length

Max length	43
Median length	11
Mean length	11.467114
Min length	5

Characters and Unicode

Total characters	109488
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Common Values

Value	Count	Frequency (%)
Unspecified	9001	0.4%
Other Vehicular	193	< 0.1%
Following Too Closely	104	< 0.1%
Driver Inattention/Distraction	67	< 0.1%
Pavement Slippery	50	< 0.1%
Fatigued/Drowsy	41	< 0.1%
Reaction to Uninvolved Vehicle	12	< 0.1%
Alcohol Involvement	11	< 0.1%
Obstruction/Debris	10	< 0.1%
Driver Inexperience	10	< 0.1%
Other values (21)	49	< 0.1%
(Missing)	2129500	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	9001	88.2%
other	195	1.9%
vehicular	193	1.9%
too	106	1.0%
closely	106	1.0%
following	104	1.0%
driver	77	0.8%
inattention/distraction	67	0.7%
pavement	51	0.5%
slippery	50	0.5%
Other values (48)	256	2.5%

Most occurring characters

Value	Count	Frequency (%)
e	19065	17.4%
i	18811	17.2%
n	9549	8.7%
c	9340	8.5%
s	9285	8.5%
p	9129	8.3%
d	9087	8.3%
f	9028	8.2%
U	9024	8.2%
o	818	0.7%
Other values (40)	6352	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	109488	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	19065	17.4%
i	18811	17.2%
n	9549	8.7%
c	9340	8.5%
s	9285	8.5%
p	9129	8.3%
d	9087	8.3%
f	9028	8.2%
U	9024	8.2%
o	818	0.7%
Other values (40)	6352	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	109488	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	19065	17.4%
i	18811	17.2%
n	9549	8.7%
c	9340	8.5%
s	9285	8.5%
p	9129	8.3%
d	9087	8.3%
f	9028	8.2%
U	9024	8.2%
o	818	0.7%
Other values (40)	6352	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	109488	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	19065	17.4%
i	18811	17.2%
n	9549	8.7%
c	9340	8.5%
s	9285	8.5%
p	9129	8.3%
d	9087	8.3%
f	9028	8.2%
U	9024	8.2%
o	818	0.7%
Other values (40)	6352	5.8%

COLLISION_ID
Real number (ℝ)

Unique

Distinct	2139048
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3206744.8

Minimum	22
Maximum	4775840
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.3 MiB

Quantile statistics

Minimum	22
5-th percentile	107815.35
Q1	3170881.8
median	3705786.5
Q3	4240781.2
95-th percentile	4668661.7
Maximum	4775840
Range	4775818
Interquartile range (IQR)	1069899.5

Descriptive statistics

Standard deviation	1506827.2
Coefficient of variation (CV)	0.46989307
Kurtosis	0.052063161
Mean	3206744.8
Median Absolute Deviation (MAD)	534950
Skewness	-1.2425404
Sum	6.859381 × 10¹²
Variance	2.2705281 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4775537	1	< 0.1%
4455765	1	< 0.1%
4513547	1	< 0.1%
4541903	1	< 0.1%
4456314	1	< 0.1%
4486609	1	< 0.1%
4407458	1	< 0.1%
4486555	1	< 0.1%
4775649	1	< 0.1%
4775076	1	< 0.1%
Other values (2139038)	2139038	> 99.9%

Value	Count	Frequency (%)
22	1	< 0.1%
23	1	< 0.1%
24	1	< 0.1%
25	1	< 0.1%
26	1	< 0.1%
27	1	< 0.1%
28	1	< 0.1%
29	1	< 0.1%
30	1	< 0.1%
31	1	< 0.1%

Value	Count	Frequency (%)
4775840	1	< 0.1%
4775835	1	< 0.1%
4775832	1	< 0.1%
4775820	1	< 0.1%
4775817	1	< 0.1%
4775815	1	< 0.1%
4775810	1	< 0.1%
4775809	1	< 0.1%
4775807	1	< 0.1%
4775801	1	< 0.1%

VEHICLE TYPE CODE 1
Text

Distinct	1740
Distinct (%)	0.1%
Missing	14731
Missing (%)	0.7%
Memory size	16.3 MiB

Length

Max length	38
Median length	35
Mean length	16.858735
Min length	1

Characters and Unicode

Total characters	35813298
Distinct characters	77
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1057 ?
Unique (%)	< 0.1%

Sample

1st row	Sedan
2nd row	Sedan
3rd row	Sedan
4th row	Sedan
5th row	Dump

Value	Count	Frequency (%)
vehicle	902084	18.0%
utility	655616	13.1%
station	655572	13.1%
sedan	647727	12.9%
wagon/sport	475280	9.5%
passenger	416223	8.3%
	181733	3.6%
wagon	180357	3.6%
sport	180291	3.6%
truck	89093	1.8%
Other values (1003)	630045	12.6%

Most occurring characters

Value	Count	Frequency (%)
	2902924	8.1%
S	2807922	7.8%
t	2412208	6.7%
i	2031525	5.7%
E	1820010	5.1%
a	1696201	4.7%
e	1689518	4.7%
n	1621382	4.5%
o	1507025	4.2%
T	1147439	3.2%
Other values (67)	16177144	45.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	35813298	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2902924	8.1%
S	2807922	7.8%
t	2412208	6.7%
i	2031525	5.7%
E	1820010	5.1%
a	1696201	4.7%
e	1689518	4.7%
n	1621382	4.5%
o	1507025	4.2%
T	1147439	3.2%
Other values (67)	16177144	45.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	35813298	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2902924	8.1%
S	2807922	7.8%
t	2412208	6.7%
i	2031525	5.7%
E	1820010	5.1%
a	1696201	4.7%
e	1689518	4.7%
n	1621382	4.5%
o	1507025	4.2%
T	1147439	3.2%
Other values (67)	16177144	45.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	35813298	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2902924	8.1%
S	2807922	7.8%
t	2412208	6.7%
i	2031525	5.7%
E	1820010	5.1%
a	1696201	4.7%
e	1689518	4.7%
n	1621382	4.5%
o	1507025	4.2%
T	1147439	3.2%
Other values (67)	16177144	45.2%

VEHICLE TYPE CODE 2
Text

Missing

Distinct	1927
Distinct (%)	0.1%
Missing	417714
Missing (%)	19.5%
Memory size	16.3 MiB

Length

Max length	38
Median length	30
Mean length	16.048236
Min length	1

Characters and Unicode

Total characters	27624375
Distinct characters	73
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1144 ?
Unique (%)	0.1%

Sample

1st row	Sedan
2nd row	Pick-up Truck
3rd row	Sedan
4th row	Tractor Truck Diesel
5th row	Sedan

Value	Count	Frequency (%)
vehicle	666333	17.0%
utility	479362	12.2%
station	479331	12.2%
sedan	452060	11.5%
wagon/sport	339127	8.7%
passenger	318613	8.1%
	141595	3.6%
wagon	140261	3.6%
sport	140204	3.6%
truck	88557	2.3%
Other values (1051)	670787	17.1%

Most occurring characters

Value	Count	Frequency (%)
	2207864	8.0%
S	2073695	7.5%
t	1731570	6.3%
i	1488595	5.4%
E	1440409	5.2%
e	1240318	4.5%
a	1210326	4.4%
n	1150132	4.2%
o	1104650	4.0%
T	924311	3.3%
Other values (63)	13052505	47.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27624375	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2207864	8.0%
S	2073695	7.5%
t	1731570	6.3%
i	1488595	5.4%
E	1440409	5.2%
e	1240318	4.5%
a	1210326	4.4%
n	1150132	4.2%
o	1104650	4.0%
T	924311	3.3%
Other values (63)	13052505	47.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27624375	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2207864	8.0%
S	2073695	7.5%
t	1731570	6.3%
i	1488595	5.4%
E	1440409	5.2%
e	1240318	4.5%
a	1210326	4.4%
n	1150132	4.2%
o	1104650	4.0%
T	924311	3.3%
Other values (63)	13052505	47.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27624375	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2207864	8.0%
S	2073695	7.5%
t	1731570	6.3%
i	1488595	5.4%
E	1440409	5.2%
e	1240318	4.5%
a	1210326	4.4%
n	1150132	4.2%
o	1104650	4.0%
T	924311	3.3%
Other values (63)	13052505	47.2%

VEHICLE TYPE CODE 3
Text

Missing

Distinct	276
Distinct (%)	0.2%
Missing	1990930
Missing (%)	93.1%
Memory size	16.3 MiB

Length

Max length	35
Median length	30
Mean length	17.666644
Min length	2

Characters and Unicode

Total characters	2616748
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	163 ?
Unique (%)	0.1%

Sample

1st row	Sedan
2nd row	Station Wagon/Sport Utility Vehicle
3rd row	Sedan
4th row	Sedan
5th row	Sedan

Value	Count	Frequency (%)
vehicle	66321	18.5%
utility	51533	14.4%
station	51530	14.4%
sedan	49693	13.8%
wagon/sport	38171	10.6%
passenger	27716	7.7%
	13443	3.7%
wagon	13359	3.7%
sport	13358	3.7%
truck	4583	1.3%
Other values (225)	29153	8.1%

Most occurring characters

Value	Count	Frequency (%)
	211177	8.1%
S	207278	7.9%
t	192358	7.4%
i	158893	6.1%
a	129793	5.0%
e	129373	4.9%
n	126987	4.9%
o	117714	4.5%
E	116431	4.4%
l	77821	3.0%
Other values (52)	1148923	43.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2616748	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	211177	8.1%
S	207278	7.9%
t	192358	7.4%
i	158893	6.1%
a	129793	5.0%
e	129373	4.9%
n	126987	4.9%
o	117714	4.5%
E	116431	4.4%
l	77821	3.0%
Other values (52)	1148923	43.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2616748	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	211177	8.1%
S	207278	7.9%
t	192358	7.4%
i	158893	6.1%
a	129793	5.0%
e	129373	4.9%
n	126987	4.9%
o	117714	4.5%
E	116431	4.4%
l	77821	3.0%
Other values (52)	1148923	43.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2616748	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	211177	8.1%
S	207278	7.9%
t	192358	7.4%
i	158893	6.1%
a	129793	5.0%
e	129373	4.9%
n	126987	4.9%
o	117714	4.5%
E	116431	4.4%
l	77821	3.0%
Other values (52)	1148923	43.9%

VEHICLE TYPE CODE 4
Text

Missing

Distinct	108
Distinct (%)	0.3%
Missing	2105307
Missing (%)	98.4%
Memory size	16.3 MiB

Length

Max length	35
Median length	30
Mean length	18.007587
Min length	2

Characters and Unicode

Total characters	607594
Distinct characters	58
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	0.2%

Sample

1st row	Station Wagon/Sport Utility Vehicle
2nd row	Sedan
3rd row	Station Wagon/Sport Utility Vehicle
4th row	Sedan
5th row	Sedan

Value	Count	Frequency (%)
vehicle	15533	18.9%
utility	12359	15.0%
station	12359	15.0%
sedan	12083	14.7%
wagon/sport	9507	11.5%
passenger	5970	7.2%
	2860	3.5%
sport	2852	3.5%
wagon	2852	3.5%
truck	844	1.0%
Other values (107)	5159	6.3%

Most occurring characters

Value	Count	Frequency (%)
	48693	8.0%
S	48374	8.0%
t	47762	7.9%
i	39190	6.5%
a	31788	5.2%
e	31578	5.2%
n	31253	5.1%
o	29021	4.8%
E	24673	4.1%
l	19262	3.2%
Other values (48)	256000	42.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	607594	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	48693	8.0%
S	48374	8.0%
t	47762	7.9%
i	39190	6.5%
a	31788	5.2%
e	31578	5.2%
n	31253	5.1%
o	29021	4.8%
E	24673	4.1%
l	19262	3.2%
Other values (48)	256000	42.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	607594	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	48693	8.0%
S	48374	8.0%
t	47762	7.9%
i	39190	6.5%
a	31788	5.2%
e	31578	5.2%
n	31253	5.1%
o	29021	4.8%
E	24673	4.1%
l	19262	3.2%
Other values (48)	256000	42.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	607594	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	48693	8.0%
S	48374	8.0%
t	47762	7.9%
i	39190	6.5%
a	31788	5.2%
e	31578	5.2%
n	31253	5.1%
o	29021	4.8%
E	24673	4.1%
l	19262	3.2%
Other values (48)	256000	42.1%

VEHICLE TYPE CODE 5
Text

Missing

Distinct	73
Distinct (%)	0.8%
Missing	2129794
Missing (%)	99.6%
Memory size	16.3 MiB

Length

Max length	35
Median length	30
Mean length	18.154636
Min length	2

Characters and Unicode

Total characters	168003
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33 ?
Unique (%)	0.4%

Sample

1st row	Station Wagon/Sport Utility Vehicle
2nd row	Station Wagon/Sport Utility Vehicle
3rd row	Sedan
4th row	Sedan
5th row	Station Wagon/Sport Utility Vehicle

Value	Count	Frequency (%)
vehicle	4200	18.5%
station	3506	15.4%
utility	3506	15.4%
sedan	3427	15.1%
wagon/sport	2704	11.9%
passenger	1487	6.5%
	804	3.5%
wagon	804	3.5%
sport	802	3.5%
truck	261	1.1%
Other values (72)	1236	5.4%

Most occurring characters

Value	Count	Frequency (%)
t	13597	8.1%
	13493	8.0%
S	13331	7.9%
i	11152	6.6%
a	9025	5.4%
e	8974	5.3%
n	8898	5.3%
o	8279	4.9%
E	6130	3.6%
l	5482	3.3%
Other values (45)	69642	41.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	168003	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	13597	8.1%
	13493	8.0%
S	13331	7.9%
i	11152	6.6%
a	9025	5.4%
e	8974	5.3%
n	8898	5.3%
o	8279	4.9%
E	6130	3.6%
l	5482	3.3%
Other values (45)	69642	41.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	168003	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	13597	8.1%
	13493	8.0%
S	13331	7.9%
i	11152	6.6%
a	9025	5.4%
e	8974	5.3%
n	8898	5.3%
o	8279	4.9%
E	6130	3.6%
l	5482	3.3%
Other values (45)	69642	41.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	168003	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	13597	8.1%
	13493	8.0%
S	13331	7.9%
i	11152	6.6%
a	9025	5.4%
e	8974	5.3%
n	8898	5.3%
o	8279	4.9%
E	6130	3.6%
l	5482	3.3%
Other values (45)	69642	41.5%

Interactions

Correlations

	BOROUGH	COLLISION_ID	CONTRIBUTING FACTOR VEHICLE 4	CONTRIBUTING FACTOR VEHICLE 5	LATITUDE	LONGITUDE	NUMBER OF CYCLIST INJURED	NUMBER OF CYCLIST KILLED	NUMBER OF MOTORIST INJURED	NUMBER OF MOTORIST KILLED	NUMBER OF PEDESTRIANS INJURED	NUMBER OF PEDESTRIANS KILLED	NUMBER OF PERSONS INJURED	NUMBER OF PERSONS KILLED
BOROUGH	1.000	0.055	0.052	0.047	0.006	0.006	0.028	0.001	0.008	0.004	0.002	0.000	0.008	0.002
COLLISION_ID	0.055	1.000	0.064	0.076	-0.014	0.068	0.040	0.004	0.114	0.009	0.033	0.004	0.147	0.011
CONTRIBUTING FACTOR VEHICLE 4	0.052	0.064	1.000	0.694	0.000	0.000	0.000	0.000	0.024	0.000	0.143	0.000	0.026	0.000
CONTRIBUTING FACTOR VEHICLE 5	0.047	0.076	0.694	1.000	0.000	0.000	0.000	0.000	0.040	0.000	0.000	0.000	0.038	0.000
LATITUDE	0.006	-0.014	0.000	0.000	1.000	0.285	0.002	0.000	-0.032	-0.001	0.003	0.000	-0.026	-0.001
LONGITUDE	0.006	0.068	0.000	0.000	0.285	1.000	0.002	0.000	0.075	0.006	-0.014	0.000	0.039	0.003
NUMBER OF CYCLIST INJURED	0.028	0.040	0.000	0.000	0.002	0.002	1.000	0.018	0.004	0.001	0.000	0.002	0.004	0.005
NUMBER OF CYCLIST KILLED	0.001	0.004	0.000	0.000	0.000	0.000	0.018	1.000	0.000	0.000	0.167	0.707	0.040	0.736
NUMBER OF MOTORIST INJURED	0.008	0.114	0.024	0.040	-0.032	0.075	0.004	0.000	1.000	0.018	-0.090	0.008	0.782	0.008
NUMBER OF MOTORIST KILLED	0.004	0.009	0.000	0.000	-0.001	0.006	0.001	0.000	0.018	1.000	-0.004	0.017	0.012	0.627
NUMBER OF PEDESTRIANS INJURED	0.002	0.033	0.143	0.000	0.003	-0.014	0.000	0.167	-0.090	-0.004	1.000	0.169	0.412	-0.002
NUMBER OF PEDESTRIANS KILLED	0.000	0.004	0.000	0.000	0.000	0.000	0.002	0.707	0.008	0.017	0.169	1.000	0.036	0.693
NUMBER OF PERSONS INJURED	0.008	0.147	0.026	0.038	-0.026	0.039	0.004	0.040	0.782	0.012	0.412	0.036	1.000	0.003
NUMBER OF PERSONS KILLED	0.002	0.011	0.000	0.000	-0.001	0.003	0.005	0.736	0.008	0.627	-0.002	0.693	0.003	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	CRASH DATE	CRASH TIME	BOROUGH	ZIP CODE	LATITUDE	LONGITUDE	LOCATION	ON STREET NAME	CROSS STREET NAME	OFF STREET NAME	NUMBER OF PERSONS INJURED	NUMBER OF MOTORIST INJURED	CONTRIBUTING FACTOR VEHICLE 1	CONTRIBUTING FACTOR VEHICLE 2	CONTRIBUTING FACTOR VEHICLE 3	CONTRIBUTING FACTOR VEHICLE 4	CONTRIBUTING FACTOR VEHICLE 5	COLLISION_ID	VEHICLE TYPE CODE 1	VEHICLE TYPE CODE 2	VEHICLE TYPE CODE 3	VEHICLE TYPE CODE 4	VEHICLE TYPE CODE 5
0	09/11/2021	2:39	NaN	NaN	NaN	NaN	NaN	WHITESTONE EXPRESSWAY	20 AVENUE	NaN	2.0	2	Aggressive Driving/Road Rage	Unspecified	NaN	NaN	NaN	4455765	Sedan	Sedan	NaN	NaN	NaN
1	03/26/2022	11:45	NaN	NaN	NaN	NaN	NaN	QUEENSBORO BRIDGE UPPER	NaN	NaN	1.0	1	Pavement Slippery	NaN	NaN	NaN	NaN	4513547	Sedan	NaN	NaN	NaN	NaN
2	06/29/2022	6:55	NaN	NaN	NaN	NaN	NaN	THROGS NECK BRIDGE	NaN	NaN	0.0	0	Following Too Closely	Unspecified	NaN	NaN	NaN	4541903	Sedan	Pick-up Truck	NaN	NaN	NaN
3	09/11/2021	9:35	BROOKLYN	11208.0	40.667202	-73.866500	(40.667202, -73.8665)	NaN	NaN	1211 LORING AVENUE	0.0	0	Unspecified	NaN	NaN	NaN	NaN	4456314	Sedan	NaN	NaN	NaN	NaN
4	12/14/2021	8:13	BROOKLYN	11233.0	40.683304	-73.917274	(40.683304, -73.917274)	SARATOGA AVENUE	DECATUR STREET	NaN	0.0	0	NaN	NaN	NaN	NaN	NaN	4486609	NaN	NaN	NaN	NaN	NaN
5	04/14/2021	12:47	NaN	NaN	NaN	NaN	NaN	MAJOR DEEGAN EXPRESSWAY RAMP	NaN	NaN	0.0	0	Unspecified	Unspecified	NaN	NaN	NaN	4407458	Dump	Sedan	NaN	NaN	NaN
6	12/14/2021	17:05	NaN	NaN	40.709183	-73.956825	(40.709183, -73.956825)	BROOKLYN QUEENS EXPRESSWAY	NaN	NaN	0.0	0	Passing Too Closely	Unspecified	NaN	NaN	NaN	4486555	Sedan	Tractor Truck Diesel	NaN	NaN	NaN
7	12/14/2021	8:17	BRONX	10475.0	40.868160	-73.831480	(40.86816, -73.83148)	NaN	NaN	344 BAYCHESTER AVENUE	2.0	2	Unspecified	Unspecified	NaN	NaN	NaN	4486660	Sedan	Sedan	NaN	NaN	NaN
8	12/14/2021	21:10	BROOKLYN	11207.0	40.671720	-73.897100	(40.67172, -73.8971)	NaN	NaN	2047 PITKIN AVENUE	0.0	0	Driver Inexperience	Unspecified	NaN	NaN	NaN	4487074	Sedan	NaN	NaN	NaN	NaN
9	12/14/2021	14:58	MANHATTAN	10017.0	40.751440	-73.973970	(40.75144, -73.97397)	3 AVENUE	EAST 43 STREET	NaN	0.0	0	Passing Too Closely	Unspecified	NaN	NaN	NaN	4486519	Sedan	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN

	CRASH DATE	CRASH TIME	BOROUGH	ZIP CODE	LATITUDE	LONGITUDE	LOCATION	ON STREET NAME	CROSS STREET NAME	OFF STREET NAME	NUMBER OF PERSONS INJURED	NUMBER OF MOTORIST INJURED	CONTRIBUTING FACTOR VEHICLE 1	CONTRIBUTING FACTOR VEHICLE 2	CONTRIBUTING FACTOR VEHICLE 3	CONTRIBUTING FACTOR VEHICLE 4	CONTRIBUTING FACTOR VEHICLE 5	COLLISION_ID	VEHICLE TYPE CODE 1	VEHICLE TYPE CODE 2	VEHICLE TYPE CODE 3	VEHICLE TYPE CODE 4	VEHICLE TYPE CODE 5
2139038	11/30/2024	20:40	BROOKLYN	11211.0	40.713100	-73.957466	(40.7131, -73.957466)	NaN	NaN	291 GRAND ST	0.0	0	Failure to Yield Right-of-Way	Unspecified	NaN	NaN	NaN	4775771	Sedan	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN
2139039	11/30/2024	23:00	BROOKLYN	11231.0	40.675102	-74.001686	(40.675102, -74.001686)	CLINTON ST	MILL ST	NaN	0.0	0	Passing Too Closely	Unspecified	NaN	NaN	NaN	4775359	Sedan	NaN	NaN	NaN	NaN
2139040	11/30/2024	9:58	BROOKLYN	11208.0	40.678535	-73.875230	(40.678535, -73.87523)	NaN	NaN	1 WELLS ST	0.0	0	Other Vehicular	Other Vehicular	Brakes Defective	NaN	NaN	4775336	Station Wagon/Sport Utility Vehicle	Sedan	Pick-up Truck	NaN	NaN
2139041	11/26/2024	20:49	MANHATTAN	10031.0	40.823940	-73.948555	(40.82394, -73.948555)	W 143 ST	AMSTERDAM AVE	NaN	1.0	1	Driver Inattention/Distraction	Unspecified	NaN	NaN	NaN	4775721	Taxi	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN
2139042	11/30/2024	15:25	NaN	NaN	40.704494	-73.817430	(40.704494, -73.81743)	VAN WYCK EXPWY	NaN	NaN	0.0	0	Unspecified	Unspecified	NaN	NaN	NaN	4775503	Station Wagon/Sport Utility Vehicle	Sedan	NaN	NaN	NaN
2139043	11/30/2024	21:30	QUEENS	11373.0	40.742190	-73.869545	(40.74219, -73.869545)	NaN	NaN	94-18 CORONA AVE	0.0	0	Driver Inattention/Distraction	Unspecified	NaN	NaN	NaN	4775566	Station Wagon/Sport Utility Vehicle	Bike	NaN	NaN	NaN
2139044	11/26/2024	12:55	MANHATTAN	10025.0	40.803566	-73.967140	(40.803566, -73.96714)	W 109 ST	BROADWAY	NaN	0.0	0	Failure to Yield Right-of-Way	Unspecified	NaN	NaN	NaN	4775621	Bike	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN
2139045	11/30/2024	0:36	NaN	NaN	40.666435	-73.834780	(40.666435, -73.83478)	BELT PARKWAY	NaN	NaN	0.0	0	Driver Inattention/Distraction	Following Too Closely	NaN	NaN	NaN	4775484	Sedan	Sedan	NaN	NaN	NaN
2139046	11/29/2024	12:14	QUEENS	11373.0	40.741160	-73.882706	(40.74116, -73.882706)	NaN	NaN	45-11 82 ST	0.0	0	Driver Inattention/Distraction	Unspecified	NaN	NaN	NaN	4775820	Sedan	Box Truck	NaN	NaN	NaN
2139047	11/30/2024	4:42	QUEENS	11435.0	40.698463	-73.808205	(40.698463, -73.808205)	NaN	NaN	144-06 94 AVE	1.0	1	Driver Inattention/Distraction	Unspecified	NaN	NaN	NaN	4775537	Sedan	Sedan	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block